Analysis of Delta In-Out of natural gas distribution networks

Ficco, Giorgio; Frattolillo, Andrea; Zuena, F.; Dell’Isola, Marco

doi:10.1016/j.flowmeasinst.2022.102139

Cited by 8 publications

(2 citation statements)

References 12 publications

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“…At the same time, individual smart metering is considered an effective tool to improve energy savings in the residential sector, which accounts for 30% of global energy consumption and 26% of global energy-related emissions [ 1 ]. Furthermore, the diffusion of smart metering technologies is expected to lower the so-called ‘Delta In-Out’, that is the unbalance resulting from the unavoidable differences between the gas entering and leaving the distribution networks [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Reliability of Domestic Gas Flow Sensors with Hydrogen Admixtures

Ficco,

Dell’Isola,

Graditi

et al. 2024

Sensors

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Static flow sensors (e.g., thermal gas micro electro-mechanical sensors—MEMS—and ultrasonic time of flight) are becoming the prevailing technology for domestic gas metering and billing since they show advantages in respect to the traditional volumetric ones. However, they are expected to be influenced in-service by changes in gas composition, which in the future could be more frequent due to the spread of hydrogen admixtures in gas networks. In this paper, the authors present the results of an experimental campaign aimed at analyzing the in-service reliability of both static and volumetric gas meters with different hydrogen admixtures. The results show that the accuracy of volumetric and ultrasonic meters is always within the admitted limits for subsequent verification and even within those narrower of the initial verification. On the other hand, the accuracy of the first generation of thermal mass gas flow sensors is within the limits of the verification only when the hydrogen admixture is below 2%vol. At higher hydrogen content, in fact, the absolute weighted mean error ranges between 3.5% (with 5%vol of hydrogen) and 15.8% (with 10%vol of hydrogen).

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Section: Introductionmentioning

confidence: 99%

Reliability of Domestic Gas Flow Sensors with Hydrogen Admixtures

Ficco,

Dell’Isola,

Graditi

et al. 2024

Sensors

Self Cite

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“…The effects of temperature measurement accuracy of gas flows in pipelines have been investigated both in the transmission [ 4 ] and distribution networks [ 5 , 6 ], demonstrating that a clear correlation occurs between temperature measurement accuracy and UAG, which is a very crucial issue in modern networks. In particular, in [ 7 ], the practical advantages gained by implementing statistical monitoring of the UAG time series and focusing on the presence of seasonality are highlighted in the UK transmission network for different UAG sources.…”

Section: Introductionmentioning

confidence: 99%

On the Reliability of Temperature Measurements in Natural Gas Pipelines

Ficco

Cassano

Cortellessa

et al. 2023

Sensors

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Accuracy of temperature measurement of natural gas flows in closed conduits is a highly debated topic due to the complexity of the measurement chain and the related economic impact. First, specific thermo-fluid dynamic issues occur because of the difference between the temperature of the gas stream and that of the external ambient and the mean radiant temperature inside the pipe. Furthermore, the installation conditions of the temperature sensor (e.g., immersion length and diameter of the thermowell) play a crucial role. In this paper, the authors present the results of a numerical and experimental study conducted both in the laboratory and in-field aimed at analyzing the reliability of temperature measurement in natural gas networks as a function of the pipe temperature and of the pressure and velocity of the gas stream. The results obtained in the laboratory show errors ranging between 0.16 and 5.87 °C in the summer regime and between −0.11 and −2.72 °C in the winter regime, depending on the external pipe temperature and gas velocity. These errors have been found to be consistent with those measured in-field, where high correlation between the pipe temperatures, the gas stream and the external ambient have been also demonstrated, especially in summer conditions.

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Modeling and optimization of natural gas distribution networks for new supplier projects

Alves

Fontes

2022

Energy Conversion and Management: X

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Analysis of Delta In-Out of natural gas distribution networks

Cited by 8 publications

References 12 publications

Reliability of Domestic Gas Flow Sensors with Hydrogen Admixtures

Reliability of Domestic Gas Flow Sensors with Hydrogen Admixtures

On the Reliability of Temperature Measurements in Natural Gas Pipelines

Modeling and optimization of natural gas distribution networks for new supplier projects

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